maths.free › Linear Algebra › Preliminaries › Complex Number Operations

Complex Number Operations

A complex number is a linear combination of $1$ and $i=\sqrt{-1}$, typically written in the form $a+bi$.

Arithmetic with complex numbers

A complex number is a linear combination of $1$ and $i=\sqrt{-1}$, typically written in the form $a+bi$. Complex numbers can be added, subtracted, multiplied and divided, just like we are used to doing with real numbers, including the restriction on division by zero. We will not define these operations carefully immediately, but instead first illustrate with examples.

Example: Arithmetic of complex numbers

(2+5i)+(6-4i)&=(2+6)+(5+(-4))i=8+i\\ (2+5i)-(6-4i)&=(2-6)+(5-(-4))i=-4+9i\\ (2+5i)(6-4i)&=(2)(6)+(5i)(6)+(2)(-4i)+(5i)(-4i)=12+30i-8i-20i^2\\ &=12+22i-20(-1)=32+22i Division takes just a bit more care. We multiply the denominator by a complex number chosen to produce a real number and then we can produce a complex number as a result. \frac{2+5i}{6-4i}&=\frac{2+5i}{6-4i}\frac{6+4i}{6+4i}=\frac{-8+38i}{52}=-\frac{8}{52}+\frac{38}{52}i=-\frac{2}{13}+\frac{19}{26}i

In this example, we used $6+4i$ to convert the denominator in the fraction to a real number. This number is known as the conjugate, which we define in the next section.

We will often exploit the basic properties of complex number addition, subtraction, multiplication and division, so we will carefully define the two basic operations, together with a definition of equality, and then collect nine basic properties in a theorem.

Zero and one play special roles, of course, and especially zero. Our first result is one we take for granted, but it requires a proof, derived from our nine properties. You can compare it to its vector space counterparts, and .

Our next theorem could be called cancellation, since it will make that possible. Though you will never see us drawing slashes through parts of products. We will also make very limited use of this result, or its vector space counterpart, .

Condensed: the full section is in Beezer, A First Course in Linear Algebra.

Conjugates of Complex Numbers

Example: Conjugate of some complex numbers

\conjugate{2+3i}=2-3i&&\conjugate{5-4i}=5+4i&& \conjugate{-3+0i}=-3+0i&&\conjugate{0+0i}=0+0i

Notice how the conjugate of a real number leaves the number unchanged. The conjugate enjoys some basic properties that are useful when we work with linear expressions involving addition and multiplication.

Modulus of a Complex Number

We define one more operation with complex numbers that may be new to you.

Example: Modulus of some complex numbers

\modulus{2+3i}=\sqrt{13}&&\modulus{5-4i}=\sqrt{41}&& \modulus{-3+0i}=3&&\modulus{0+0i}=0

The modulus can be interpreted as a version of the absolute value for complex numbers, as is suggested by the notation employed. You can see this in how $\modulus{-3}=\modulus{-3+0i}=3$. Notice too how the modulus of the complex zero, $0+0i$, has value $0$.

Now you Không máy tính nào có thể tính toán được nó, nhưng các mảnh của nó có thể tính toán được. Thử một trong những cách dưới đây, hoặc gõ theo ý bạn.

Để cho anh làm việc

Một tài khoản miễn phí thêm ghi chú vào mỗi bài học, ghi chép những gì bạn đã hoàn thành, các bài toán bạn giải quyết ở một nơi, và một giáo viên bạn có thể hỏi về trang này. Toán học là mở cho mọi người, dù có đăng nhập hay không.

Đăng ký Đăng nhập

Ký hiệu được dùng ở đây

Nhấn vào bất kỳ ký hiệu nào để xem định nghĩa đầy đủ, một bức ảnh, và ý nghĩa của từng chữ cái trong nó.

Câu hỏi người ta hỏi

What does a determinant mean geometrically?

It is the factor by which the matrix scales area (2×2) or volume (3×3), with a negative sign if orientation flips. Zero means the matrix flattens space and cannot be undone.

What is an eigenvector?

A direction the matrix does not turn: it only stretches it by the eigenvalue. Along eigenvectors a complicated matrix acts like multiplication by a number.

Why is matrix multiplication not commutative?

Because a matrix is a transformation and AB means "do B, then A". Rotating then reflecting is not the same as reflecting then rotating.

Một số phần của trang này được chuyển từ Beezer, A First Course in Linear Algebra (GFDL 1.2). Được nén lại và giải thích lại ở đây; lỗi là của chúng tôi.

More in Linear Algebra